Instructions to use prxy5608/84e3f9b9-7c10-4820-aa55-3fadc4ef2d79 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/84e3f9b9-7c10-4820-aa55-3fadc4ef2d79 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5608/84e3f9b9-7c10-4820-aa55-3fadc4ef2d79") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cf31fe85c5c1e72b72932b1ea124be3d4596ad2e4771e0d68d27aed33be483f
- Size of remote file:
- 282 MB
- SHA256:
- 86a0f12273b66382279fd3984736ad0e882f061f1f02557dc75bbbf6b59f33db
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